首页|New Findings Reported from Huazhong University of Science and Technology Describe Advances in Machine Learning (Computational Screening of 2d Anode Materials With Robust Thermal and Electrical Properties for Lithium-ion Batteries)
New Findings Reported from Huazhong University of Science and Technology Describe Advances in Machine Learning (Computational Screening of 2d Anode Materials With Robust Thermal and Electrical Properties for Lithium-ion Batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Hubei, People’s Republic of China, by NewsRx correspondents, research stated, “Twodimensionalmaterials AB2-type and AB-type materials not only have robust electrical properties, but alsohave robust thermal stability, which can reduce the risk of thermal runaway of the battery. While experimentaland theoretical calculations to explore the entire phase space are both very time-consuming, usingmachine learning combining with first principle calculations, a new material TiF that has high electronicconductivity (bandgap = 0 eV), low energy barrier (0.28 eV), high capacity (400.82 mA h/g), high thermalstability and moderate open circuit voltage (2.21 V) is screened out from 1913 materials.”
HubeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHuazhong University of Science and Technology
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